WILD CORPUS · github_awesome
PQS 57 (C) - prompt from raw.githubusercontent.com
Source: raw.githubusercontent.com · Scraped 2026-05-04 · Scored 2026-05-04
Score
C57 / 80
gemma4:latest · local · pqs-v2.0 · canonical
Clarity9 / 10
Specificity10 / 10
Context10 / 10
Constraints8 / 10
Output format10 / 10
Role definition8 / 10
Examples1 / 10
CoT structure1 / 10
The prompt
Create a 30-second promotional video for prompts.chat Required Assets - https://prompts.chat/logo.svg - Logo SVG - https://raw.githubusercontent.com/flekschas/simple-world-map/refs/heads/master/world-map.svg - World map SVG for global community scene Color Theme (Light) - Background: #ffffff - Background Alt: #f8fafc - Primary: #6366f1 (Indigo) - Primary Light: #818cf8 - Accent: #22c55e (Green) - Text: #0f172a - Text Muted: #64748b Font - Inter (weights: 400, 600, 700, 800) --- Scene Structure (8 Scenes) Scene 1: Opening (5s) - Logo appears - Logo centered, scales in with spring animation - After animation: "prompts.chat" text reveals left-to-right below logo using clip-path - Tagline appears: "The Free Social Platform for AI Prompts" Scene 2: Global Community (4s) - Full-screen world map (25% opacity) as background - 16 pulsing activity dots at major cities (LA, NYC, Toronto, Sao Paulo, London, Paris, Berlin, Lagos, Moscow, Dubai, Mumbai, Beijing, Tokyo, Singapore, Sydney, Warsaw) - Each dot has outer pulse ring, inner pulse, and center dot with glow - Title: "A global community of prompt creators" - Stats row: 8k+ users, 3k+ daily visitors, 1k+ prompts, 300+ contributors, 10+ languages - Gradient overlay at bottom for text readability Scene 3: Solution (2.5s) - Three words appear sequentially with spring animation: "Discover." "Share." "Collect." - Each word in different color (primary, accent, primary light) Scene 4: Built for Everyone (4s) - 8 floating persona icons around screen edges with sine/cosine wave floating animation - Personas: Students, Teachers, Researchers, Developers, Artists, Writers, Marketers, Entrepreneurs - Each has 130x130 icon container with colored background/border - Center title: "Built for everyone" - Subtitle: "One prompt away from your next breakthrough." Scene 5: Prompt Types (5s) - Title: "Prompts for every need" - Browser-like frame (1400x800) with macOS traffic lights and URL bar showing "prompts.chat" - A masonry skeleton screenshot scrolls vertically with eased animation (cubic ease-in-out) - 7 floating pill-shaped labels around edges with icons: - Text (purple), Image (pink), Video (amber), Audio (green), Workflows (violet), Skills (teal), JSON (red) Scene 6: Features (4s) - 4 feature cards appearing sequentially with spring animation: - Prompt Library (book icon) - "Thousands of prompts across all categories" - Skills & Workflows (bolt icon) - "Automate multi-step AI tasks" - Community (users icon) - "Share and discover from creators" - Open Source (circle-plus icon) - "Self-host with complete privacy" Scene 7: Social Proof (4s) - Animated GitHub star counter (0 → 143,000+) - Star icon next to count - Badge: "The First Prompt Library — Since December 2022" with trophy icon - Text: "Endorsed by OpenAI co-founders • Used by Harvard, Columbia & more" Scene 8: CTA (3.5s) - Background glow animation (pulsing radial gradient) - Title: "Start exploring today" - Large button with logo + "prompts.chat" text (gradient background, subtle pulse) - Subtitle: "Free & Open Source" --- Transitions (0.4s each) - Scene 1→2: Fade - Scene 2→3: Slide from right - Scene 3→4: Fade - Scene 4→5: Fade - Scene 5→6: Slide from right - Scene 6→7: Slide from bottom - Scene 7→8: Fade Animation Techniques Used - spring() for bouncy scale animations - interpolate() for opacity, position, and clip-path - Easing.inOut(Easing.cubic) for smooth scroll - Math.sin()/Math.cos() for floating animations - Staggered delays for sequential element appearances Key Components - Custom SVG icon components for all icons (no emojis) - Logo component with prompts.chat "P" path - FeatureCard reusable component - TransitionSeries for scene management
This prompt was scraped from a public source. The score reflects the input as written, not the quality of any output it produced. The AI input quality problem is the gap between what people type and what the model can act on.